-
NIST ThermoData Engine - Pure Compounds, Binary Mixtures and Reactions - SRD ...
The ThermoData Engine fully implements all major principles of the concept of dynamic data evaluation formulated at NIST?s Thermodynamics Research Center (TRC). Dynamic data... -
Processed Lab Data for Neural Network-Based Shear Stress Level Prediction
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files... -
UNH TDP - Load Cell Raw Data and Processing Scripts - Fall 2021
This submission contains raw Load Cell data and processing scripts associated with MHKDR submission 394 (UNH TDP - Concurrent Measurements of Inflow, Power Performance, and... -
NIST ThermoData Engine - Pure Compounds, Binary Mixtures and Reactions - SRD ...
The ThermoData Engine fully implements all major principles of the concept of dynamic data evaluation formulated at NIST?s Thermodynamics Research Center (TRC). Dynamic data... -
NIST ThermoData Engine - Pure Compounds - SRD 103a
The ThermoData Engine fully implements all major principles of the concept of dynamic data evaluation formulated at NIST's Thermodynamics Research Center (TRC). Dynamic data... -
Experimental Wave Desalination Data with Variable Feed and Pressure Input
This is the raw data collected from various experiments seeking to characterize reverse osmosis membrane performance under dynamic feed conditions (i.e., varying feed pressure...